{"id":1236757,"url":"https://alion.io/job/tiktok-senior-software-development-engineer-quality-platform-ai-test-automation","title":"Senior Software Development Engineer, Quality Platform & AI Test Automation","company":{"id":47,"name":"TikTok","domain":"tiktok.com","url":"https://alion.io/company/tiktok","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Feishu","truth_index":{"grade":"B","score":83,"open_postings":3467,"ghost_share":0.199,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":96,"computed_at":"2026-10-23T05:54:15Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":152000,"max_usd":300000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":587},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-06-01T18:00:37Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-23T05:59:44Z","board_verified":true,"closed_at":null,"days_open":143,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":143},"description":"岗位职责 / Responsibilities\nThe e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading internet companies. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our quality assurance engineering team is responsible for keeping an e-commerce ecosystem stable, secure, and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok. \nWhat you'll do:\n- Build test platforms, automation frameworks, validation services, and AI-powered tools to improve testing efficiency and release quality.\n- Develop AI skills/agents for QA/RD scenarios such as requirement analysis, test case generation, test data generation, log analysis, defect triage, root cause analysis, regression selection, and test reporting.\n- Build self-service capabilities that help QA/RD teams execute validation, monitor test results, assess release readiness, and reduce manual testing effort.\n- Integrate automation and AI outputs with test management systems, dashboards, ticketing systems, and release processes.\n- Partner with QA and RD teams to identify testing pain points and convert them into reusable automation platforms or AI-based solutions.\n- Work closely with global QA, RD, product, and business teams across multiple countries/regions to support international e-commerce scenarios, localization needs, and cross-market release quality.\n任职要求 / Requirements\nMinimum Qualifications:\n- Bachelor degree or above in Computer Science, Software Engineering, or a related technical field.\n- 5+ years of hands-on software development experience, preferably in test platform, automation, AI tooling, developer productivity, or quality engineering related areas.\n- Experience building test automation frameworks, validation tools, internal productivity tools, or CI/CD-related engineering solutions.\n- Strong understanding of software testing concepts, including requirement analysis, test design, regression testing, defect analysis, and release validation.\n- Strong engineering sense in building reliable, maintainable, and scalable solutions rather than one-off scripts.\n- Ability to work closely with QA and RD teams, understand real testing pain points, and turn them into practical engineering solutions.\n- Able to collaborate with cross-functional teams in an international environment.\nPreferred Qualifications: \n- Experience building reusable testing infrastructure, automation platforms, AI tools, or internal productivity tools used by multiple teams.\n- Experience applying AI/LLM capabilities to improve testing efficiency, such as test case generation, test data generation, log analysis, defect triage, root cause analysis, regression selection, risk assessment, or test reporting.\n- Experience working on complex systems where quality depends on cross-service validation, data consistency, configuration correctness, or end-to-end business flows.\n- Experience integrating automation or AI outputs with test management systems, dashboards, ticketing systems, or release 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